"Tor Project" matching MCP servers:

Read your Pyunto Time Management schedule and log time from an AI assistant. E2EE project planning.

Bridges Motion's API with LLMs like Claude and ChatGPT via the Model Context Protocol, enabling task management, project search, schedule viewing, and more through natural conversation.

Enables MCP clients to access Dooray account, calendar, project, post, attachment, and messenger APIs, with read-only mode and confirmation-gated write tools.

Dooray MCP server for interacting with Dooray services such as messenger, calendar, project, and posts. Supports operations like reading, creating, and updating posts, comments, and files.

Enables AI assistants to interact with ExecuFunction's project management, knowledge base, code indexing, and calendar tools via MCP, allowing natural language management of tasks, notes, and code.

Enables AI assistants to search, read, compose, and manage Thunderbird mail, filters, contacts, and calendar events through the Model Context Protocol.

Enables AI assistants to read, search, send, and organize email, manage contacts, and work with calendar events through Fastmail's JMAP, CalDAV, and WebDAV APIs, including attachments, bulk operations, and mailbox/label handling. It is a community project that is not affiliated with or endorsed by Fastmail.

Connects Claude to self-hosted Vikunja instances for conversational task and project management. Supports CRUD operations on projects and tasks, plus labels, comments, weekly reviews, calendar feeds, and task relations.

A hosted MCP server that allows AI assistants to access Google Calendar and Sheets via OAuth proxy, requiring no Google Cloud setup.

Enables AI assistants to book meetings, check availability, and manage Cal.com scheduling through natural conversation.

Enables AI assistants to securely access and manage PlainStaff workspaces for time tracking, project bookings, absences, shift plans, and compliance reporting through MCP, with dry-run write confirmation for safe operations.

A local Python MCP server that creates a GitHub issue, Notion task page, and Google Calendar event from a single task description, enabling project management across multiple platforms.

Enables AI assistants to interact with an account's email, contacts, and calendar through public JMAP, CalDAV, and WebDAV APIs, supporting search, sending, drafts, attachments, bulk operations, contacts, and events. It is a community project, not affiliated with or endorsed by the service provider.

Enables Claude to safely propose and, upon explicit approval, apply calendar and project changes in Outlook and ClickUp, governed by binding preferences and an append-only audit trail.

A demonstration project that implements a Model Context Protocol (MCP) server with example tools for calendar, task management, and weather functionality in a Docker container.

Enables AI assistants to manage personal project schedules through natural language, including creating and updating projects and tasks, tracking todos, querying schedules, and receiving reminders for deadlines and overdue items.

Enables users to manage appointments through a FastAPI backend with PostgreSQL database. Supports creating, listing, updating, and deleting appointments via natural language interactions through Claude.

Enables reading, creating and editing events in selected Nextcloud calendars over CalDAV, with credentials kept in a desktop keyring wallet rather than project files. Supports calendar listing, bounded event queries, structured event details, non-recurring event creation, and revision-checked patching of titles, descriptions, locations and times.

Enables AI apps to read a student's Moodle courses, upcoming and overdue due dates, assignment submission statuses, course grades, gradebook items and announcements. It is strictly read only, so it can never submit, edit or delete anything.

This project implements a Python-based MCP (Model Context Protocol) server that acts as an interface between Large Language Models (LLMs) and the Google Calendar API. It enables LLMs to perform calendar operations via natural language requests.